OBJECTIVE: To determine the relationship between resilience and quality of life of diabetes patients controlling the effect of personal level (i.e., gender, age, and income) and disease-specific (i.e., duration of disease, and current glucose level) demographics. STUDY DESIGN: Analytical study. PLACE AND DURATION OF STUDY: Outpatient Departments of various hospitals in Islamabad and Rawalpindi, from October to November 2012. METHODOLOGY: Patients diagnosed with diabetes taking treatment in an outdoor patients' facility were included. Patients with a major diabetes complications causing or coexistent with a physical disability, medical condition or psychiatric comorbidity were excluded. Informed consent was taken from patients before administration of questionnaires. The patients were asked to respond to a demographic sheet, State-Trait resilience inventory, and WHO-Quality of Life BREF. Statistical testing was conducting using bivariate correlation, Mann-Whitney U-test, and multiple linear regression analysis for moderation testing. RESULTS: There were 242 patients including (n=108, 44% females; and n=134, 56% males) aged 17 - 85 years with mean of 44.56 ± 16.56 years. Trait resilience predicted all aspects of quality of life of diabetic patients (b range = 0.30 to 0.42, p < .01) and explained 17% variance in physical functioning, 29% in psychological functioning, 17% in environmental functioning, 30% in social dimension, and 29% in overall quality of life. Duration of diabetes moderated effect of state resilience on all aspects of quality of life (b interaction range = 0.20 to 0.26, p < .05) and explained an additional 4% variance in physical functioning, 5% in psychological functioning, 3% in environmental functioning, 5% in social dimension, and 4% in overall quality of life of diabetics. CONCLUSION: Trait resilience has unconditional positive effect on all aspect of quality of life. Long standing diabetics may benefit from intervention addressing state resilience.
OBJECTIVE: To determine the relationship between resilience and quality of life of diabetespatients controlling the effect of personal level (i.e., gender, age, and income) and disease-specific (i.e., duration of disease, and current glucose level) demographics. STUDY DESIGN: Analytical study. PLACE AND DURATION OF STUDY: Outpatient Departments of various hospitals in Islamabad and Rawalpindi, from October to November 2012. METHODOLOGY:Patients diagnosed with diabetes taking treatment in an outdoor patients' facility were included. Patients with a major diabetes complications causing or coexistent with a physical disability, medical condition or psychiatric comorbidity were excluded. Informed consent was taken from patients before administration of questionnaires. The patients were asked to respond to a demographic sheet, State-Trait resilience inventory, and WHO-Quality of Life BREF. Statistical testing was conducting using bivariate correlation, Mann-Whitney U-test, and multiple linear regression analysis for moderation testing. RESULTS: There were 242 patients including (n=108, 44% females; and n=134, 56% males) aged 17 - 85 years with mean of 44.56 ± 16.56 years. Trait resilience predicted all aspects of quality of life of diabeticpatients (b range = 0.30 to 0.42, p < .01) and explained 17% variance in physical functioning, 29% in psychological functioning, 17% in environmental functioning, 30% in social dimension, and 29% in overall quality of life. Duration of diabetes moderated effect of state resilience on all aspects of quality of life (b interaction range = 0.20 to 0.26, p < .05) and explained an additional 4% variance in physical functioning, 5% in psychological functioning, 3% in environmental functioning, 5% in social dimension, and 4% in overall quality of life of diabetics. CONCLUSION: Trait resilience has unconditional positive effect on all aspect of quality of life. Long standing diabetics may benefit from intervention addressing state resilience.
Authors: Lisa Scarton; Luciana E Hebert; R Turner Goins; Jason G Umans; Luohua Jiang; Ashley Comiford; Sixia Chen; Ashley White; Tara Ritter; Spero M Manson Journal: Qual Life Res Date: 2021-04-10 Impact factor: 4.147